output
20172026
most citedA Survey on the Explainability of Supervised Machine Learning

984 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2024 · cs.CVShow all

2 papers · 2 filters

cs.CV2024★ 4 cited

Guiding Video Prediction with Explicit Procedural Knowledge

Patrick Takenaka, Johannes Maucher, Marco F. Huber

We propose a general way to integrate procedural knowledge of a domain into deep learning models. We apply it to the case of video prediction, building on top of object-centric dee…

cs.CV2024★ 8 cited

Classification Metrics for Image Explanations: Towards Building Reliable XAI-Evaluations

Benjamin Fresz, Lena Lörcher, Marco Huber

Decision processes of computer vision models - especially deep neural networks - are opaque in nature, meaning that these decisions cannot be understood by humans. Thus, over the l…